Enables MCP-compatible AI platforms to see the screen and operate any desktop software through real mouse clicks, text input, key presses, and scripted scenario execution.
Enables automation of native Windows desktop applications through screen capture, mouse/keyboard control, and waiting for UI changes, exposing them as MCP tools.
Allows AI clients to see and control Windows 10/11 desktops via MCP, with screenshots, UI Automation, Chrome CDP, keyboard/mouse, and terminal using semantic element targeting.
Enables MCP clients to control a Linux/X11 desktop like a human: see the screen, move the mouse, click UI elements via the accessibility tree, type text, and manage windows.
Enables MCP clients to control macOS via accessibility and screen recording, providing tools to list apps, observe UI, click, type, press keys, and scroll.
Enables AI agents to select Windows desktop UI elements, windows, or screen regions via mouse hover, then obtain context through UI Automation, screenshots, and local OCR for MCP-compatible clients.